{"id":"https://openalex.org/W4321488033","doi":"https://doi.org/10.1109/tcad.2023.3247621","title":"Efficient Super-Resolution System With Block-Wise Hybridization and Quantized Winograd on FPGA","display_name":"Efficient Super-Resolution System With Block-Wise Hybridization and Quantized Winograd on FPGA","publication_year":2023,"publication_date":"2023-02-22","ids":{"openalex":"https://openalex.org/W4321488033","doi":"https://doi.org/10.1109/tcad.2023.3247621"},"language":"en","primary_location":{"id":"doi:10.1109/tcad.2023.3247621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2023.3247621","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026268257","display_name":"Bizhao Shi","orcid":"https://orcid.org/0000-0002-8665-1132"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bizhao Shi","raw_affiliation_strings":["School of Computer Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8665-1132","affiliations":[{"raw_affiliation_string":"School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101596930","display_name":"Jiaxi Zhang","orcid":"https://orcid.org/0000-0002-1115-7850"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxi Zhang","raw_affiliation_strings":["School of Computer Science, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039671544","display_name":"Zhuolun He","orcid":"https://orcid.org/0009-0009-4909-6588"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhuolun He","raw_affiliation_strings":["Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, SAR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, The Chinese University of Hong Kong, Hong Kong, SAR","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102904614","display_name":"Xuechao Wei","orcid":"https://orcid.org/0000-0002-0996-2260"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuechao Wei","raw_affiliation_strings":["Alibaba DAMO Academy, Beijing, China","Center for Energy-Efficient Computing and Applications, Peking University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba DAMO Academy, Beijing, China","institution_ids":["https://openalex.org/I45928872"]},{"raw_affiliation_string":"Center for Energy-Efficient Computing and Applications, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100728889","display_name":"Sicheng Li","orcid":"https://orcid.org/0000-0002-5856-1172"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sicheng Li","raw_affiliation_strings":["Alibaba DAMO Academy, Sunnyvale, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba DAMO Academy, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023468643","display_name":"Guojie Luo","orcid":"https://orcid.org/0000-0003-4932-3655"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guojie Luo","raw_affiliation_strings":["School of Computer Science, Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4932-3655","affiliations":[{"raw_affiliation_string":"School of Computer Science, Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046896624","display_name":"Hongzhong Zheng","orcid":"https://orcid.org/0000-0001-7696-9799"},"institutions":[{"id":"https://openalex.org/I4210095624","display_name":"Alibaba Group (United States)","ror":"https://ror.org/00rn0m335","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095624","https://openalex.org/I45928872"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongzhong Zheng","raw_affiliation_strings":["Alibaba DAMO Academy, Sunnyvale, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Alibaba DAMO Academy, Sunnyvale, CA, USA","institution_ids":["https://openalex.org/I4210095624"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100385336","display_name":"Yuan Xie","orcid":"https://orcid.org/0000-0003-2093-1788"},"institutions":[{"id":"https://openalex.org/I45928872","display_name":"Alibaba Group (China)","ror":"https://ror.org/00k642b80","country_code":"CN","type":"company","lineage":["https://openalex.org/I45928872"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Xie","raw_affiliation_strings":["Alibaba DAMO Academy, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2093-1788","affiliations":[{"raw_affiliation_string":"Alibaba DAMO Academy, Beijing, China","institution_ids":["https://openalex.org/I45928872"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9145,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.87959137,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"42","issue":"11","first_page":"3910","last_page":"3924"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9927999973297119,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6965134143829346},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.5895335674285889},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5427565574645996},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.4488152861595154},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4250548779964447},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.3227608799934387},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.24075037240982056},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2339617908000946}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6965134143829346},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.5895335674285889},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5427565574645996},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.4488152861595154},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4250548779964447},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3227608799934387},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.24075037240982056},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2339617908000946},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcad.2023.3247621","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcad.2023.3247621","pdf_url":null,"source":{"id":"https://openalex.org/S100835903","display_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","issn_l":"0278-0070","issn":["0278-0070","1937-4151"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4699999988079071,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1720568649","display_name":null,"funder_award_id":"62090021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1900829300","display_name":null,"funder_award_id":"2022YFB4500500","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":60,"referenced_works":["https://openalex.org/W54257720","https://openalex.org/W935139217","https://openalex.org/W1487564550","https://openalex.org/W1513879401","https://openalex.org/W1522301498","https://openalex.org/W1529560198","https://openalex.org/W1885185971","https://openalex.org/W1974973438","https://openalex.org/W1981990039","https://openalex.org/W2004185490","https://openalex.org/W2028342110","https://openalex.org/W2047920195","https://openalex.org/W2064076387","https://openalex.org/W2067042811","https://openalex.org/W2081385919","https://openalex.org/W2099273082","https://openalex.org/W2103559027","https://openalex.org/W2105042925","https://openalex.org/W2120838001","https://openalex.org/W2124875329","https://openalex.org/W2143230897","https://openalex.org/W2149760002","https://openalex.org/W2164551808","https://openalex.org/W2165939075","https://openalex.org/W2172654076","https://openalex.org/W2214802144","https://openalex.org/W2343519867","https://openalex.org/W2417716951","https://openalex.org/W2476548250","https://openalex.org/W2503339013","https://openalex.org/W2534320940","https://openalex.org/W2614517779","https://openalex.org/W2729080111","https://openalex.org/W2753090066","https://openalex.org/W2798838583","https://openalex.org/W2804744229","https://openalex.org/W2886623847","https://openalex.org/W2890506290","https://openalex.org/W2945396297","https://openalex.org/W2963470893","https://openalex.org/W2999276659","https://openalex.org/W3004390962","https://openalex.org/W3013529009","https://openalex.org/W3015869703","https://openalex.org/W3035022492","https://openalex.org/W3043538212","https://openalex.org/W3080716055","https://openalex.org/W3093013777","https://openalex.org/W3157035436","https://openalex.org/W3163159351","https://openalex.org/W3204278478","https://openalex.org/W4214626557","https://openalex.org/W4282937861","https://openalex.org/W4285229030","https://openalex.org/W4290097509","https://openalex.org/W4290098628","https://openalex.org/W4313136417","https://openalex.org/W6631190155","https://openalex.org/W6773949105","https://openalex.org/W6781412027"],"related_works":["https://openalex.org/W2062399876","https://openalex.org/W2607795551","https://openalex.org/W3155117723","https://openalex.org/W1991429770","https://openalex.org/W1983892167","https://openalex.org/W3183118997","https://openalex.org/W3214410901","https://openalex.org/W3204400881","https://openalex.org/W3204296682","https://openalex.org/W2917767146"],"abstract_inverted_index":{"Super-resolution":[0],"(SR)":[1],"techniques":[2],"aim":[3],"to":[4,18,98,114,146,219],"restore":[5],"a":[6,90,119,132,148,211,235],"high-resolution":[7],"(HR)":[8],"image":[9,42,104,112,134,156,253],"from":[10],"low-resolution":[11],"(LR)":[12],"images,":[13],"which":[14],"are":[15],"often":[16],"used":[17,170],"assist":[19],"the":[20,26,49,56,63,80,107,125,143,152,159,165,186,191,206,226],"enhancement":[21],"of":[22,29,60,67,82,127,228,238],"image/video":[23],"quality":[24,44,254],"under":[25],"rapid":[27],"development":[28],"HR":[30],"and":[31,65,102,117,129,155,190,200,243,247],"high-frame-rate":[32],"media.":[33],"Recently,":[34],"neural":[35],"network":[36],"(NN)-based":[37],"methods":[38,195],"perform":[39],"much":[40],"better":[41],"reconstruction":[43],"than":[45],"classical":[46],"approaches.":[47],"However,":[48],"unacceptable":[50],"computation":[51,100,153],"complexity":[52],"as":[53,55],"well":[54],"huge":[57],"memory":[58],"footprints":[59],"NNs":[61,218],"limit":[62],"throughputs":[64],"scalability":[66,242],"these":[68,229],"SR":[69,84,96,115,121,144,174,217,232],"systems.":[70],"In":[71],"this":[72,194],"work,":[73],"we":[74,88,110,162,209],"analyze":[75],"several":[76],"key":[77],"issues":[78],"in":[79,173],"design":[81],"NN-based":[83],"systems":[85,97],"first.":[86],"Then,":[87],"propose":[89,177,210],"three-level":[91],"systematic":[92],"optimization":[93],"methodology":[94],"for":[95,171,215],"reduce":[99],"overhead":[101,154],"keep":[103],"quality.":[105,157],"At":[106,158,205],"algorithm":[108,122,145],"level,":[109,161,208],"introduce":[111],"blocking":[113],"tasks":[116],"develop":[118],"block-wise":[120],"based":[123],"on":[124,164],"hybrid":[126,140],"NN":[128],"interpolation":[130],"with":[131,240,251],"consistent":[133],"block":[135],"evaluation":[136],"metric.":[137],"The":[138],"configurable":[139],"parameters":[141],"help":[142],"achieve":[147],"flexible":[149],"tradeoff":[150],"between":[151],"operator":[160],"focus":[163],"transpose":[166],"convolution":[167,182],"operators":[168],"commonly":[169],"upsampling":[172],"NNs.":[175],"We":[176],"an":[178],"efficient":[179,187],"Winograd-based":[180],"transposed":[181],"acceleration":[183],"method.":[184],"Through":[185],"subconvolutions":[188],"conversion":[189],"Winograd":[192,198],"specialization,":[193],"enables":[196],"unified":[197],"transformations":[199],"simplified":[201],"data":[202,207],"access":[203],"patterns.":[204],"novel":[212],"quantization":[213],"method":[214],"Winograd-aware":[216],"get":[220],"better-quantized":[221],"accuracy.":[222],"Comprehensive":[223],"evaluations":[224],"demonstrate":[225],"effectiveness":[227],"optimizations.":[230],"Our":[231],"system":[233],"reduces":[234],"large":[236],"number":[237],"multiplications":[239],"great":[241],"supports":[244],"4K@120":[245],"fps":[246,249],"8K@30":[248],"outputs":[250],"acceptable":[252],"degradation.":[255]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}